32 results about "Electricity infrastructure" patented technology

The invention discloses a cement-based telegraph pole defect detection method based on big data analysis, and the method comprises the steps: arranging a distributed optical fiber sensing network to collect the stress data of a target telegraph pole, and obtaining a stress feature set through denoising and feature extraction; constructing a structure damage feature library based on the attributes of the telegraph pole and the material characteristics, and screening key damage features through a self-adaptive matching threshold value; and in combination with concrete carbonization characteristics and steel bar corrosion characteristics, carrying out weighted analysis by adopting a multi-modal fusion model and an attention mechanism, and outputting an optimally matched defect detection result. According to the method, through multi-source data fusion and dynamic threshold optimization, the recognition precision of typical damages such as cracks and spalling is remarkably improved, a graded early warning and maintenance scheme can be automatically generated according to a detection result, and intelligent monitoring and operation and maintenance of the health state of the telegraph pole are achieved; the method has the characteristics of high detection accuracy and strong environmental adaptability, and is suitable for long-term safety monitoring of the electric power infrastructure.

Operators typically utilize techno-economic means to set peak power demand in power infrastructure sites, such as power depots and microgrids. However, conventional means tend to either produce sub-optimal values of peak power demand or be too computationally expensive to be performed in a real-time or scalable manner. Accordingly, disclosed embodiments utilize a sliding time window to continuously or periodically determine peak power demand in past, current, and future portions of a current time period. These embodiments are able to determine an optimal peak power demand for the current time period, while remaining computationally feasible for real-time performance and being scalable with the complexity of optimization.

The invention provides an intelligent power grid material distribution planning method based on three-dimensional encasement, and designs a space dimension reduction method and a heuristic evolutionary algorithm in combination with the problems of wide material distribution of an electric power system and the vehicle space utilization rate in the transportation process. The problem of power infrastructure material distribution optimization under the constraint of three-dimensional boxing is solved. According to the method, through adaptive expansion and a virtual boxing technology, the method can better adapt to power equipment of various different shapes, sizes and weights. Meanwhile, according to the method, the distribution time is shortened and the distribution efficiency is improved by optimizing the distribution route, so that the distribution cost is reduced and the operation efficiency of the power system is improved. In addition, the cargo stability is considered in detail in the process of designing the boxing operator and heuristic evolution, and the cargo safety in the distribution process is guaranteed. In general, the invention provides an effective, efficient and intelligent power system material distribution planning scheme.

The invention belongs to the technical field of 5GMEC deployment, and relates to a 5GMEC deployment platform based on power business characteristics. The deployment platform comprises an MEC three-level cloud edge collaboration architecture, a UPF collaboration mechanism, an electric power facility fusion module, a safety protection system and a service distribution strategy. The MEC three-level cloud edge collaborative architecture is a layered architecture composed of an access layer, an edge layer and a center layer. The UPF collaboration mechanism realizes priority scheduling of three types of services through network slice identifiers; the electric power facility fusion module physically fuses the MEC node and the electric power infrastructure; the security protection system adopts a layered defense mechanism to perform multi-dimensional threat coverage; according to the service distribution strategy, classification processing is carried out on power services based on 5G network slices, and local traffic unloading and non-local traffic return are realized. According to the invention, flexible deployment and configuration can be carried out according to power business requirements, and the matching degree with power grid business requirements is high; management is autonomous and controllable, a security management strategy is customized, illegal access is prevented, and service transmission security is enhanced.

The present invention discloses a method and system for co-construction and sharing of power infrastructure in 5G to support power transmission and distribution, including: using a unified resource modeling module to model and associate resources on the operator side and the power side; the power resource management module provides a full-view list of resources for co-construction and sharing of the entire power grid to power grid management personnel based on the model and resource library provided by the unified resource modeling module; based on the full-view list of resources, the external enterprise demand management module provides information and demand query and registration to external enterprises through an open interface. The present invention optimizes the addressing process, accurately matches demand, increases the speed of co-construction and sharing, improves efficiency, and effectively promotes the matching of 5G and power demand; provides a 5G-based real-time backhaul method for the transmission mode of drones; based on the matching of operator signal quality and power resources, flexibly carries out site planning according to the needs of specific power consumption services, and provides a specific business optimization method based on 5G.

Systems and methods for enabling infinite wireless charging of unmanned aerial systems (UASs) are provided. A UAS detects sources of power and wirelessly charges itself by collecting ambient electromagnetic energy from a power infrastructure. A UAS in accordance with features and aspects described herein is autonomous, may always be wirelessly charged (e.g., with high induced voltage), and can make use of weak energy. Moreover, various charging techniques can be used, such as in-flight, trickle, perching, and / or parking. Dynamic flight is supported using multi-angle MIMO coils. Additionally or alternatively, faster charging can be achieved with a supercapacitor and slower charging can be achieved with a battery.

Variants of the system includes an industrial facility, job scheduling services, and a set of control agents configured to manage power and cooling resources. The method includes determining a current system state, optionally predicting a future system state, determining control setpoints, and controlling the facility based on the setpoints. In a data center implementation, the control agents receive physical state information from infrastructure components and job data from the job scheduling services. Using this information, the control agents predict future power and heat loads associated with scheduled compute jobs. The predictions are generated by a state approximator. Based on the predicted resource demands, the control agents determine control setpoints for cooling and power infrastructure components. The job scheduling services can allocate, delay, or reschedule jobs based on predicted thermal and power constraints.

The application discloses a kind of urban water and electricity infrastructure protection resource configuration method, equipment and storage medium, it is related to urban water and electricity failure analysis and resource configuration field, comprising: determining the failure ratio of upstream node, whether it is failure state based on failure ratio determination;In the case of being not failure state, the water depth of node to be analyzed is determined according to water depth variation model;When water depth is greater than water depth threshold, the target failure probability of node is determined based on water depth and target failure probability model;The random value of node is generated by Monte Carlo simulation method, whether node is failure state is determined again based on target failure probability and random value;If still not failure state, whether it is failure state is further determined based on random failure probability;System reliability result is determined based on the state of node, and node is protected by resource configuration based on protection resource configuration strategy, water and electricity infrastructure failure analysis and protection resource configuration are realized.

The invention, which belongs to the technical field of carbon emission data processing, relates to a logistics carbon footprint tracking method for an electric power infrastructure fabricated component, comprising a global positioning terminal, an RFID read-write device, an RFID tag and a logistics carbon footprint accounting and display platform. The global positioning terminal is used for monitoring transportation carbon emission tracking data, and the RFID tag and the RFID read-write device are used for storing, writing or reading data such as component production carbon emission tracking data of a component; the logistics carbon footprint accounting and display platform is internally provided with a transportation accounting formula and an abnormity alarm algorithm. The system has dual functions of carbon footprint tracking and logistics asset tracking. Through real-time display and alarm functions, logistics assets and carbon footprints of the fabricated components are tracked, and when abnormity in the transportation process is found, an alarm is given, so that assets and carbon emission management of the fabricated components is facilitated.

The present invention discloses a power supply network, system, and server, relating to the field of power supply and designed to address the current problem of high power losses during server operation. The power supply network distributes power conductors across multiple areas of a printed circuit board, with the resistance of the power conductors being lower than that of the power lines in the motherboard. This design aims to reduce power losses during transmission and improve power supply efficiency. Furthermore, voltage management is implemented to achieve more efficient power transmission with lower power losses, thereby reducing heat loss and energy waste in the server during power transmission and improving server power supply efficiency. This reduces overall energy consumption in the data center where the server resides during high-load operation, helping to alleviate pressure on power infrastructure.

This invention discloses a method and system for energy consumption analysis of highway power equipment based on smart gateways. The method includes: acquiring power equipment operation data collected by smart gateways deployed at multiple nodes along the highway; identifying operational energy consumption correlation characteristics corresponding to each smart gateway based on a preset correlation model; predicting the gateway area risk corresponding to each smart gateway based on the operational energy consumption correlation characteristics using a prediction model; and performing energy consumption structure analysis on the highway and identifying abnormal energy consumption data based on the gateway area risk, thereby outputting operational management suggestions for the power equipment. Therefore, this invention can achieve digital monitoring and risk warning of the operational status of highway power infrastructure, thus providing scientific decision-making suggestions and data support for the precise operation and management of power equipment.

The invention provides a method and a system for optimizing electric power infrastructure based on low-altitude economic electricity consumption, which are characterized in that multi-source electricity consumption data (low-altitude manufacturing industry electricity consumption, low-altitude flight electricity consumption and low-altitude guarantee electricity consumption) are fused, so that scientific parameter support is provided for planning and operation of the electric power infrastructure; and meanwhile, by virtue of the specific time sequence dependence of the long-short-term memory network, the forward movement of the predicted weight in the time dimension is realized, so that the weight prediction accuracy is improved. Besides, the low-altitude economic electricity consumption is combined with the power grid safe and stable operation constraint condition of the to-be-measured area, so that the cooperative management of the low-altitude economy and the power grid output quality of the power foundation arrangement in the to-be-measured area is realized, and the optimization accuracy of the power infrastructure in the next time period can be further improved. Therefore, the planning and operation cost of the power infrastructure can be accurately adjusted and optimized.

Variants of the system includes an industrial facility, job scheduling services, and a set of control agents configured to manage power and cooling resources. The method includes determining a current system state, optionally predicting a future system state, determining control setpoints, and controlling the facility based on the setpoints. In a data center implementation, the control agents receive physical state information from infrastructure components and job data from the job scheduling services. Using this information, the control agents predict future power and heat loads associated with scheduled compute jobs. The predictions are generated by a state approximator. Based on the predicted resource demands, the control agents determine control setpoints for cooling and power infrastructure components. The job scheduling services can allocate, delay, or reschedule jobs based on predicted thermal and power constraints.

A method and system for matching a power infrastructure model to measured data is disclosed. The method comprises receiving a power infrastructure model comprising a plurality of model points indicating estimated positions of entities of the power infrastructure. The method further comprises receiving measured data comprising a plurality of measured points indicating actual positions of entities of the power infrastructure. The method further comprises determining at least one matching pair of points between the plurality of model points and the plurality of measured points. The method further comprises generating a revised model by deforming the power infrastructure model based on the at least one matching pair of points. The system includes one or more processors and a computer readable medium for performing the method. Unlocking insights from Geo-Data, the present invention further relates to improvements in sustainability and environmental developments: together we create a safe and liveable world.

A system for detecting an event in an electrical infrastructure is disclosed. The system includes a plurality of monitoring stations configured to monitor signals from electrical equipment to detect one or more events associated with the electrical equipment. The monitoring stations are spaced at intervals along the electrical infrastructure. The system further includes a processor configured to analyze the detected events to obtain information regarding at least one of location, character and severity of each event associated with the electrical equipment, and output the obtained information.

The invention discloses a power system network security check automatic identification method, which comprises the following steps: S1, sensing the dynamic change of a power system network topology in real time through a self-adaptive dynamic topology sensing module, accurately identifying boundary equipment, and laying a foundation for subsequent security check; s2, dynamically associating a multi-dimensional risk assessment module; s3, optimizing an intelligent decision engine module through multiple targets; and S4, a visual interaction and emergency linkage module is adopted. According to the method, the automation and intelligence level of network security check of the power system is remarkably improved, breakthrough innovation is particularly achieved in the aspects of dynamic topological response, multi-type attack collaborative evaluation and multi-target decision optimization in a complex power grid environment, and the method has wide market application prospects and is worthy of popularization and application. The method can be widely applied to network security protection of key power infrastructures such as 500kV and above hub substations, regional power dispatching centers, new energy power stations and the like.

The invention discloses a full-process digital water and electricity intelligent infrastructure management system, relates to the technical field of water and electricity infrastructure management, and provides the following scheme that the system comprises a data acquisition layer which serves as a data acquisition and operation entrance of the system and provides basic hardware support for full-process management; and the data storage layer is used for carrying out unified storage, cleaning and sharing functions of whole-process data. According to the invention, the problem of traditional hydroelectric infrastructure management pain points is solved, a five-layer architecture and an intelligent algorithm are used, the data layer realizes full-scene acquisition and mixed storage, and data accuracy, completeness and safety are guaranteed; the processing layer fuses BIM and data, visually presents and improves information acquisition efficiency, covers the whole life cycle in business, manages and controls progress, quality, safety and resources in real time in the construction stage, realizes equipment predictive maintenance, energy consumption optimization and emergency response acceleration in the operation stage, adapts to multi-role interaction, obviously reduces cost and efficiency, reduces labor and resource waste, shortens the construction period, and improves the efficiency of construction. And digital transformation of hydroelectric capital construction is promoted.

The invention discloses an anti-corrosion method and an anti-corrosion system for a transmission tower. The method comprises the following steps: acquiring a potential signal and anode information of an auxiliary anode; constructing model input data at least based on the potential signal and the anode information; according to the model input data, calling a pre-trained neural network to determine optimal anti-corrosion potential information; according to the optimal anti-corrosion potential information, the potential output module is controlled to adjust the current output by the positive electrode of the potential output module, so that the adjusted current is the optimal protection current matched with the optimal anti-corrosion potential information, and efficient anti-corrosion of the tower can be achieved; therefore, the service life of the transmission tower can be prolonged, and safe operation of electric power infrastructure is guaranteed.

A protective device for reducing the possibility of accidental electrical discharges to a fish tape during use may include a coupler portion configured to be releasably coupled to a connector of an electrical enclosure of electrical infrastructure, and a shield portion configured to receive a free end and end portion of the fish tape from conductive contact with elements in the electrical enclosure, with the shield portion being releasably attached to the coupler portion. A system including various elements of the electrical infrastructure, and a method of utilizing the protective device in the infrastructure, are also disclosed.

The application discloses a kind of urban water and electricity infrastructure failure analysis method, device, equipment and storage medium, it is related to urban water and electricity failure analysis field, comprising: the failure proportion of upstream node is determined, whether it is failure state based on failure proportion, wherein, to be analyzed node is corresponding with urban water and electricity infrastructure;In the case of being not failure state, the water depth of to-be-analyzed node is determined according to water depth variation model;When water depth is greater than water depth threshold value, the target failure probability of to-be-analyzed node is determined based on water depth and target failure probability model;The random value of to-be-analyzed node is generated by Monte Carlo simulation method, and whether to-be-analyzed node is failure state is determined again based on target failure probability and random value;If still not failure state, whether it is failure state is further determined based on random failure probability;Failure analysis result is generated based on the state of to-be-analyzed node, and the scientific analysis of water and electricity infrastructure failure is realized.

The invention provides a full-life-cycle carbon emission metering and carbon reduction method and system suitable for a main power house of a transformer substation, and belongs to the field of low-carbon construction of electric power infrastructures. The method aims to solve the problems that carbon emission of building material production, transportation, construction and decommissioning links is neglected in an existing method, carbon footprint data of the whole life cycle is lost, and data support cannot be provided for comprehensive low-carbon transformation. According to the method, a material and equipment acquisition stage, a transportation stage, a construction stage, an operation stage and a decommissioning stage are covered, in the construction stage, a mechanical attitude sensor and a fuel sensor are installed, and the operation state of equipment is recognized through signals, so that dynamic metering of carbon emission is achieved; in the operation stage, a CEEMDAN-LSTM hybrid algorithm is adopted to predict the carbon emission per unit time, and support is provided for long-term carbon management; and finally, measuring and predicting a result according to the carbon emission of each stage. Quantitative, real-time and intelligent control over the whole process of carbon emission of the main plant of the transformer substation is achieved, and high precision, expandability and engineering application value are achieved.

The invention discloses an urban hydropower infrastructure protection resource configuration method and device and a storage medium, and relates to the field of urban hydropower failure analysis and resource configuration.The method comprises the steps that the failure proportion of an upstream node is determined, and whether the upstream node is in a failure state or not is determined based on the failure proportion; under the condition of a non-failure state, determining the ponding depth of the node to be analyzed according to a ponding depth change model; when the ponding depth is greater than the ponding depth threshold, determining a target failure probability of the node based on the ponding depth and a target failure probability model; a random value of the node is generated through a Monte Carlo simulation method, and whether the node is in a failure state or not is determined again based on the target failure probability and the random value; if the state is still the non-failure state, further determining whether the state is the failure state based on the random failure probability; and determining a system reliability result based on the state of the node, and performing protection resource configuration on the node based on a protection resource configuration strategy, thereby realizing failure analysis and protection resource configuration on the hydropower infrastructure.

The invention relates to the technical field of power transmission tower damage assessment, and discloses a power transmission tower damage assessment method and device, electronic equipment and a storage medium, and the method comprises the steps: employing a reverse finite element method to construct a global inversion model of tower damage, and employing discrete strain data collected by a small number of sensors through a discrete variation thought to obtain a power transmission tower damage assessment result; external load and material attribute information are not needed in the inversion stage, but damage judgment needs to be conducted in combination with material performance data in the evaluation stage, and efficient solving of structural displacement and a stress field is successfully achieved. The method has the beneficial technical effects that the limitation of traditional strain monitoring is broken through, the stress, displacement and inclination angle parameters at the position where a sensor is not deployed can be inverted, the monitoring capability of the stress distribution of the whole tower is improved, the comprehensive evaluation effect on the safety of the tower is remarkably improved, and important support is provided for safety management of electric power infrastructures.

The invention relates to the technical field of large excavating equipment, and discloses a motor-driven crawler excavator and a working method thereof.The motor-driven crawler excavator comprises a supporting plate, the bottom of the supporting plate is rotationally connected with a rotating disc, the bottom of the rotating disc is fixedly connected with a crawler belt, and the middle of the top of the supporting plate is fixedly connected with a console; a grabbing mechanism is arranged at the top of the supporting plate, an air supply mechanism is arranged at the top of the supporting plate, and a range extender is fixedly connected to the top of the supporting plate. According to the motor-driven crawler excavator and the working method thereof, the range extender combines an engine power generation mode and a battery power supply mode. In some construction sites with imperfect electric power infrastructures, a traditional electric excavator may face the difficult problem of charging, and even under the condition that no external power source exists, the extended-range excavator can maintain work through power generation of an engine, and dependence on single electric power supply is avoided.

The invention relates to an electric charging network system (1) for charging electric energy storage devices of electric vehicles, wherein the electric charging network system (1) comprises at least one first distribution unit (5), at least one second distribution unit (7), and at least one charging-point unit (9), wherein each first distribution unit (5) comprises a first data-processing unit, and each charging-point unit (9) comprises a charging data-processing unit. The invention also relates to an electric infrastructure system (3), to a method for operating an electric charging network system (1), to a computer program, and to a computer-readable medium.

To reduce the risk of electricity or water depletion in off-grid environments. [Solution] A program that operates a computer equipped with a processor and memory causes the processor to acquire current state information, including the remaining charge of a battery in an off-grid environment independent of the power infrastructure, and uses a machine learning model to predict the balance of power supply and demand. The predicted balance of supply and demand is applied to the current battery charge as a starting point to calculate the future charge trend. The calculated charge trend is evaluated to determine the risk of power depletion by checking whether it falls below a threshold, and if there is a risk, predetermined processing is executed to reduce the risk.

The invention discloses a novel electric pole and a production method thereof, and relates to the technical field of electric power infrastructure, the electric pole comprises a steel reinforcement framework and a concrete layer wrapping the steel reinforcement framework; the steel reinforcement framework comprises longitudinal load-bearing steel bars, spiral bars and erecting rings. The concrete layer is made of C80 grade concrete, and the C80 grade concrete comprises the following components in parts by weight: 410-430 parts of 42.5 R cement; 610 to 630 parts of medium sand; 950-980 parts of stones with the particle size of 6-20 mm; 40 to 45 parts of silicon powder; 3-4 parts of a naphthalene water reducer; the high-strength steel bars and the densified spiral bars are cooperatively arranged to form a steel bar framework, a three-dimensional stress system is formed, and the bending resistance, shearing resistance and fatigue resistance of the rod body are effectively enhanced; the compactness and the impermeability of the concrete layer are improved by optimizing grading design and doping high-performance active admixtures, meanwhile, the gradient thickness design is adopted, the bearing capacity gradient from the top end to the bottom end of the rod body is enhanced, and early damage caused by stress concentration is avoided.

A fusion system uses optical pulse shaping to control a fusion reaction by manipulating the quantum state of fluid fuel. The fusion system includes a reactor assembly that accepts fusion reaction fuel (e.g., hydrogen, hydrogen deuteride, deuterium, or deuterium-tritium, liquid water, liquid 17O-heavy water, etc?), and provides for conversion of high-energy fusion products to current. The fusion system may operate at ambient or low temperature (relative to ambient conditions), in the infrared band of the electromagnetic spectrum (e.g., between 700nm and 16000nm), and at moderate field intensities (e.g., between 109W / cm2 and 1017W / cm2), enabling efficient use of compact femtosecond laser sources and in-line, passive, or active optical elements for ultrafast pulse shaping. The net result is a field-robust electrical generator assembly that may be seamlessly integrated into existing electrical infrastructures.

A recirculating aquaculture Mixed-Cell Raceway (MCR) system enables the implementation of a compact commercial-size fish culturing system in long and narrow agricultural-style buildings commonly used to house and grow animals. The system can be retrofitted to existing agricultural-style buildings or in new constructions. The system is entirely contained within the footprint of a single rectangular MCR. The MCR can be divided into several growth cells equal in width and length. One or more growth cells are dedicated to water quality treatment and pumping. Each growth cell follows diameter-to-depth ratio guidelines previously developed for round tanks to quickly force the removal of solids being generated because of the feeding fish being cultured. All growth cells are in alignment, co-planar, and all the functions are integrated into the MCR's footprint. Minimal disturbance to the building is necessary, and existing utilities are reused so that plumbing, electrical infrastructure, and construction costs are reduced.